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adversarialnetspapers

The classical Papers and codes about adversarial nets

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

dd-var

Config files for my GitHub profile.

decoupledfpn

a detection network use DecoupledNet DeformableNet CliqueNet ScaleFPN Attention

deep-photo-styletransfer

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

deep-supervised-hashing-dsh

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deformable-convnets

Deformable Convolutional Networks

dsh_tensorflow

implemement of DEEP SUPERVISED HASHING FOR FAST IMAGE RETRIEVAL_CVPR2016

ebgan-celeba

Pytorch implementation of Energy Based GAN for CelebA dataset

ebgan_pytorch

Implementation of EBGAN in pytorch

gan-sandbox

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

gan-weight-norm

Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"

ganotebooks

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

interview-notebook

:calendar: 准备秋招学习笔记

ituring_books

图灵程序设计丛书分享

lsgan_tf

Simple implementation of Least Squares Generative Adversarial Networks

obj_det_progress_tracker

Object Detection Progress Tracker

object_detection_with_tensorflow

object detection app based on tensorflow api

paper-implementations

Use PyTorch to implement some classic frameworks

pytorch-mnist-celeba-cgan-cdcgan

Pytorch implementation conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

really-awesome-gan

A list of papers on General Adversarial (Neural) Networks

sniper

SNIPER is an efficient multi-scale object detection algorithm

tensorflow

Computation using data flow graphs for scalable machine learning

vnpy

基于Python的开源量化交易平台开发框架

wassersteingan